Triple

T7780846
Position Surface form Disambiguated ID Type / Status
Subject Poznań Land E221510 entity
Predicate hasMajorCity P316 FINISHED
Object Oborniki
Oborniki is a town in west-central Poland, located in the Greater Poland region north of Poznań.
E693249 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Oborniki | Statement: [Poznań Land, hasMajorCity, Oborniki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oborniki
Context triple: [Poznań Land, hasMajorCity, Oborniki]
  • A. Widzewiacy
    Widzewiacy is the popular nickname for the players and supporters of the Polish football club Widzew Łódź.
  • B. Szczerców
    Szczerców is a village in central Poland known as the birthplace of renowned World War II general Stanisław Maczek.
  • C. Arkowcy
    Arkowcy is the popular nickname for the supporters and players associated with the Polish football club Arka Gdynia.
  • D. Gajowniczek
    Gajowniczek is a Polish surname most notably borne by Franciszek Gajowniczek, the Auschwitz prisoner for whom Saint Maximilian Kolbe volunteered to die.
  • E. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oborniki
Triple: [Poznań Land, hasMajorCity, Oborniki]
Generated description
Oborniki is a town in west-central Poland, located in the Greater Poland region north of Poznań.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oborniki
Target entity description: Oborniki is a town in west-central Poland, located in the Greater Poland region north of Poznań.
  • A. Widzewiacy
    Widzewiacy is the popular nickname for the players and supporters of the Polish football club Widzew Łódź.
  • B. Szczerców
    Szczerców is a village in central Poland known as the birthplace of renowned World War II general Stanisław Maczek.
  • C. Arkowcy
    Arkowcy is the popular nickname for the supporters and players associated with the Polish football club Arka Gdynia.
  • D. Gajowniczek
    Gajowniczek is a Polish surname most notably borne by Franciszek Gajowniczek, the Auschwitz prisoner for whom Saint Maximilian Kolbe volunteered to die.
  • E. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d6cf9881909f5220437db13cc7 completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5c1f20c81908ae2fc35550b91b5 completed March 30, 2026, 10:14 p.m.
NEDg Description generation batch_69caf81d934881908fa41ebd43f3b2e2 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa013f348190a2067dee4a0c8c40 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:20 p.m.